Mastering matplotlib a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing
2015
|
| Schriftenreihe: | Community experience distilled
|
| Schlagworte: | |
| Online-Zugang: | DE-706 |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
MARC
| LEADER | 00000nam a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV045351240 | ||
| 003 | DE-604 | ||
| 005 | 20191105 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 181210s2015 xx o|||| 00||| eng d | ||
| 020 | |a 1783987553 |9 1-78398-755-3 | ||
| 020 | |a 9781783987559 |9 978-1-78398-755-9 | ||
| 035 | |a (ZDB-4-ITC)ocn913095580 | ||
| 035 | |a (OCoLC)913095580 | ||
| 035 | |a (DE-599)BVBBV045351240 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-706 | ||
| 082 | 0 | |a 005.133 | |
| 084 | |a ST 601 |0 (DE-625)143682: |2 rvk | ||
| 100 | 1 | |a McGreggor, Duncan M. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Mastering matplotlib |b a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data |c Duncan M. McGreggor |
| 264 | 1 | |a Birmingham |b Packt Publishing |c 2015 | |
| 300 | |a 1 online resource (292 pages) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Community experience distilled | |
| 500 | |a Print version record | ||
| 500 | |a Online resource; title from PDF title page (EBSCO, viewed September, 06, 2017) | ||
| 505 | 8 | |a Matplotlib is a Python plotting library that provides a large feature set for a multitude of platforms. Given the depth of the library's legacy and the variety of related open source projects, gaining expert knowledge can be a time-consuming and often confusing process. You'll begin your exciting journey learning about the skills that are necessary in leading technical teams for a visualization project or to become a matplotlib contributor. Supported by highly-detailed IPython Notebooks, this book takes you through the conceptual components underlying the library and then provides a detailed overview of its APIs. From there, you will learn about event handling and how to code for interactive plots. Next you will move on to customization techniques, local configuration of matplotib, and then deployments in Cloud environments. The adventure culminates in an exploration of big data visualization and matplotlib clustering | |
| 650 | 7 | |a COMPUTERS / Programming Languages / Python |2 bisacsh | |
| 650 | 7 | |a Charts, diagrams, etc / Computer programs |2 fast | |
| 650 | 7 | |a Python (Computer program language) |2 fast | |
| 650 | 4 | |a Python (Computer program language) |a Charts, diagrams, etc |x Computer programs | |
| 650 | 0 | 7 | |a Datenanalyse |0 (DE-588)4123037-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Matplotlib |0 (DE-588)1192378350 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |D s |
| 689 | 0 | 1 | |a Datenanalyse |0 (DE-588)4123037-1 |D s |
| 689 | 0 | 2 | |a Matplotlib |0 (DE-588)1192378350 |D s |
| 689 | 0 | |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a McGreggor, Duncan M. |t Mastering matplotlib : a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data |d Birmingham, England ; Mumbai, [India] : Packt Publishing, 2015 |h xii, 268 pages |k Community experience distilled |z 9781783987542 |
| 912 | |a ZDB-4-ITC | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-030737893 | |
| 966 | e | |u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1018909 |l DE-706 |p ZDB-4-ITC |q UBY_PDA_ITC_Kauf |x Aggregator |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1819303935445303298 |
|---|---|
| any_adam_object | |
| author | McGreggor, Duncan M. |
| author_facet | McGreggor, Duncan M. |
| author_role | aut |
| author_sort | McGreggor, Duncan M. |
| author_variant | d m m dm dmm |
| building | Verbundindex |
| bvnumber | BV045351240 |
| classification_rvk | ST 601 |
| collection | ZDB-4-ITC |
| contents | Matplotlib is a Python plotting library that provides a large feature set for a multitude of platforms. Given the depth of the library's legacy and the variety of related open source projects, gaining expert knowledge can be a time-consuming and often confusing process. You'll begin your exciting journey learning about the skills that are necessary in leading technical teams for a visualization project or to become a matplotlib contributor. Supported by highly-detailed IPython Notebooks, this book takes you through the conceptual components underlying the library and then provides a detailed overview of its APIs. From there, you will learn about event handling and how to code for interactive plots. Next you will move on to customization techniques, local configuration of matplotib, and then deployments in Cloud environments. The adventure culminates in an exploration of big data visualization and matplotlib clustering |
| ctrlnum | (ZDB-4-ITC)ocn913095580 (OCoLC)913095580 (DE-599)BVBBV045351240 |
| dewey-full | 005.133 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.133 |
| dewey-search | 005.133 |
| dewey-sort | 15.133 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03297nam a2200517zc 4500</leader><controlfield tag="001">BV045351240</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20191105 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">181210s2015 xx o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1783987553</subfield><subfield code="9">1-78398-755-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781783987559</subfield><subfield code="9">978-1-78398-755-9</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-4-ITC)ocn913095580</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)913095580</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045351240</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-706</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.133</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 601</subfield><subfield code="0">(DE-625)143682:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">McGreggor, Duncan M.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Mastering matplotlib</subfield><subfield code="b">a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data</subfield><subfield code="c">Duncan M. McGreggor</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham</subfield><subfield code="b">Packt Publishing</subfield><subfield code="c">2015</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (292 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Community experience distilled</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Print version record</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Online resource; title from PDF title page (EBSCO, viewed September, 06, 2017)</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Matplotlib is a Python plotting library that provides a large feature set for a multitude of platforms. Given the depth of the library's legacy and the variety of related open source projects, gaining expert knowledge can be a time-consuming and often confusing process. You'll begin your exciting journey learning about the skills that are necessary in leading technical teams for a visualization project or to become a matplotlib contributor. Supported by highly-detailed IPython Notebooks, this book takes you through the conceptual components underlying the library and then provides a detailed overview of its APIs. From there, you will learn about event handling and how to code for interactive plots. Next you will move on to customization techniques, local configuration of matplotib, and then deployments in Cloud environments. The adventure culminates in an exploration of big data visualization and matplotlib clustering</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS / Programming Languages / Python</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Charts, diagrams, etc / Computer programs</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Python (Computer program language)</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Computer program language)</subfield><subfield code="a">Charts, diagrams, etc</subfield><subfield code="x">Computer programs</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Matplotlib</subfield><subfield code="0">(DE-588)1192378350</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Matplotlib</subfield><subfield code="0">(DE-588)1192378350</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="a">McGreggor, Duncan M.</subfield><subfield code="t">Mastering matplotlib : a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data</subfield><subfield code="d">Birmingham, England ; Mumbai, [India] : Packt Publishing, 2015</subfield><subfield code="h">xii, 268 pages</subfield><subfield code="k">Community experience distilled</subfield><subfield code="z">9781783987542</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-ITC</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030737893</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1018909</subfield><subfield code="l">DE-706</subfield><subfield code="p">ZDB-4-ITC</subfield><subfield code="q">UBY_PDA_ITC_Kauf</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV045351240 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-24T06:57:02Z |
| institution | BVB |
| isbn | 1783987553 9781783987559 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030737893 |
| oclc_num | 913095580 |
| open_access_boolean | |
| owner | DE-706 |
| owner_facet | DE-706 |
| physical | 1 online resource (292 pages) |
| psigel | ZDB-4-ITC ZDB-4-ITC UBY_PDA_ITC_Kauf |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | Packt Publishing |
| record_format | marc |
| series2 | Community experience distilled |
| spelling | McGreggor, Duncan M. Verfasser aut Mastering matplotlib a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data Duncan M. McGreggor Birmingham Packt Publishing 2015 1 online resource (292 pages) txt rdacontent c rdamedia cr rdacarrier Community experience distilled Print version record Online resource; title from PDF title page (EBSCO, viewed September, 06, 2017) Matplotlib is a Python plotting library that provides a large feature set for a multitude of platforms. Given the depth of the library's legacy and the variety of related open source projects, gaining expert knowledge can be a time-consuming and often confusing process. You'll begin your exciting journey learning about the skills that are necessary in leading technical teams for a visualization project or to become a matplotlib contributor. Supported by highly-detailed IPython Notebooks, this book takes you through the conceptual components underlying the library and then provides a detailed overview of its APIs. From there, you will learn about event handling and how to code for interactive plots. Next you will move on to customization techniques, local configuration of matplotib, and then deployments in Cloud environments. The adventure culminates in an exploration of big data visualization and matplotlib clustering COMPUTERS / Programming Languages / Python bisacsh Charts, diagrams, etc / Computer programs fast Python (Computer program language) fast Python (Computer program language) Charts, diagrams, etc Computer programs Datenanalyse (DE-588)4123037-1 gnd rswk-swf Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf Matplotlib (DE-588)1192378350 gnd rswk-swf Python Programmiersprache (DE-588)4434275-5 s Datenanalyse (DE-588)4123037-1 s Matplotlib (DE-588)1192378350 s DE-604 Erscheint auch als Druck-Ausgabe McGreggor, Duncan M. Mastering matplotlib : a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data Birmingham, England ; Mumbai, [India] : Packt Publishing, 2015 xii, 268 pages Community experience distilled 9781783987542 |
| spellingShingle | McGreggor, Duncan M. Mastering matplotlib a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data Matplotlib is a Python plotting library that provides a large feature set for a multitude of platforms. Given the depth of the library's legacy and the variety of related open source projects, gaining expert knowledge can be a time-consuming and often confusing process. You'll begin your exciting journey learning about the skills that are necessary in leading technical teams for a visualization project or to become a matplotlib contributor. Supported by highly-detailed IPython Notebooks, this book takes you through the conceptual components underlying the library and then provides a detailed overview of its APIs. From there, you will learn about event handling and how to code for interactive plots. Next you will move on to customization techniques, local configuration of matplotib, and then deployments in Cloud environments. The adventure culminates in an exploration of big data visualization and matplotlib clustering COMPUTERS / Programming Languages / Python bisacsh Charts, diagrams, etc / Computer programs fast Python (Computer program language) fast Python (Computer program language) Charts, diagrams, etc Computer programs Datenanalyse (DE-588)4123037-1 gnd Python Programmiersprache (DE-588)4434275-5 gnd Matplotlib (DE-588)1192378350 gnd |
| subject_GND | (DE-588)4123037-1 (DE-588)4434275-5 (DE-588)1192378350 |
| title | Mastering matplotlib a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data |
| title_auth | Mastering matplotlib a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data |
| title_exact_search | Mastering matplotlib a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data |
| title_full | Mastering matplotlib a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data Duncan M. McGreggor |
| title_fullStr | Mastering matplotlib a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data Duncan M. McGreggor |
| title_full_unstemmed | Mastering matplotlib a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data Duncan M. McGreggor |
| title_short | Mastering matplotlib |
| title_sort | mastering matplotlib a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data |
| title_sub | a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data |
| topic | COMPUTERS / Programming Languages / Python bisacsh Charts, diagrams, etc / Computer programs fast Python (Computer program language) fast Python (Computer program language) Charts, diagrams, etc Computer programs Datenanalyse (DE-588)4123037-1 gnd Python Programmiersprache (DE-588)4434275-5 gnd Matplotlib (DE-588)1192378350 gnd |
| topic_facet | COMPUTERS / Programming Languages / Python Charts, diagrams, etc / Computer programs Python (Computer program language) Python (Computer program language) Charts, diagrams, etc Computer programs Datenanalyse Python Programmiersprache Matplotlib |
| work_keys_str_mv | AT mcgreggorduncanm masteringmatplotlibapracticalguidethattakesyoubeyondthebasicsofmatplotlibandgivessolutionstoplotcomplexdata |